Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Position: Behavioural Assurance Cannot Verify the Safety Claims Governance Now Demands
arXiv:2605.15164v1 Announce Type: cross Abstract: This position paper argues that behavioural assurance, even when carefully designed, is being asked to…
Numerical exploration of the range of shape functionals using neural networks
arXiv:2602.14881v2 Announce Type: replace-cross Abstract: We introduce a novel numerical framework for the exploration of Blaschke–Santal’o diagrams, which are efficient…
The Pitfalls of KV Cache Compression
arXiv:2510.00231v2 Announce Type: replace-cross Abstract: KV cache compression promises increased throughput and efficiency with negligible loss in performance. While the…
Image Generators are Generalist Vision Learners
arXiv:2604.20329v2 Announce Type: replace-cross Abstract: Recent works show that image and video generators exhibit zero-shot visual understanding behaviors, in a…
VLRS-Bench: A Vision-Language Reasoning Benchmark for Remote Sensing
arXiv:2602.07045v2 Announce Type: replace-cross Abstract: Recent advancements in Multimodal Large Language Models (MLLMs) have enabled complex reasoning. However, existing remote…
GraphBit: A Graph-based Agentic Framework for Non-Linear Agent Orchestration
arXiv:2605.13848v1 Announce Type: new Abstract: Agentic LLM frameworks that rely on prompted orchestration, where the model itself determines workflow transitions,…
ENSEMBITS: an alphabet of protein conformational ensembles
arXiv:2605.13789v2 Announce Type: replace-cross Abstract: Protein structure tokenizers (PSTs) are workhorses in protein language modeling, function prediction, and evolutionary analysis.…
IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation
arXiv:2605.14712v1 Announce Type: cross Abstract: Robot imitation data are often multimodal: similar visual-language observations may be followed by different action…
Vision-Core Guided Contrastive Learning for Balanced Multi-modal Prognosis Prediction of Stroke
arXiv:2605.14710v1 Announce Type: cross Abstract: Deep learning and multi-modal fusion have demonstrated transformative potential in medical diagnosis by integrating diverse…
Query-Conditioned Test-Time Self-Training for Large Language Models
arXiv:2605.13369v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are typically deployed with fixed parameters, and their performance is often…